#计算机科学#Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
翻译 - 简单钢筋学习教程
#计算机科学#High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
#算法刷题#PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
翻译 - DQN、AC、ACER、A2C、A3C、PG、DDPG、TRPO、PPO、SAC、TD3 和...的 PyTorch 实现。
#计算机科学#Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
#计算机科学#PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
#计算机科学#Minimal and Clean Reinforcement Learning Examples
翻译 - 最小和干净的强化学习示例
#计算机科学#PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
#计算机科学#ChainerRL is a deep reinforcement learning library built on top of Chainer.
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
#计算机科学#Deep Reinforcement Learning with pytorch & visdom
#自然语言处理#Deep Reinforcement Learning For Sequence to Sequence Models
#计算机科学#Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers,...
#算法刷题#This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are st...
Simple A3C implementation with pytorch + multiprocessing
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
A3C LSTM Atari with Pytorch plus A3G design
#计算机科学#Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.
翻译 - Reaver:模块化深度强化学习框架。专注于《星际争霸2》。支持Gym,Atari和MuJoCo。匹配参考结果。
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
#计算机科学#PyTorch implementation of Soft Actor-Critic (SAC)
PyTorch C++ Reinforcement Learning
翻译 - PyTorch C ++强化学习